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A 'data.frame' processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. 'vtreat' prepares variables so that data has fewer exceptional cases, making it easier to safely use models in production. Common problems 'vtreat' defends against: 'Inf', 'NA', too many categorical levels, rare categorical levels, and new categorical levels (levels seen during application, but not during training). Reference: "'vtreat': a data.frame Processor for Predictive Modeling", Zumel, Mount, 2016, <doi:10.5281/zenodo.1173313>.
| Version: | 1.6.5 |
| Depends: | R (≥ 3.4.0), wrapr (≥ 2.1.0) |
| Imports: | stats, digest |
| Suggests: | rquery (≥ 1.4.99), rqdatatable (≥ 1.3.3), data.table (≥ 1.12.2), knitr, rmarkdown, parallel, DBI, RSQLite, datasets, R.rsp, tinytest |
| Published: | 2024-06-12 |
| DOI: | 10.32614/CRAN.package.vtreat |
| Author: | John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph] |
| Maintainer: | John Mount <jmount at win-vector.com> |
| BugReports: | https://github.com/WinVector/vtreat/issues |
| License: | GPL-2 | GPL-3 |
| URL: | https://github.com/WinVector/vtreat/, https://winvector.github.io/vtreat/ |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | vtreat results |
| Package source: | vtreat_1.6.5.tar.gz |
| Windows binaries: | r-devel: vtreat_1.6.5.zip, r-release: vtreat_1.6.5.zip, r-oldrel: vtreat_1.6.5.zip |
| macOS binaries: | r-release (arm64): vtreat_1.6.5.tgz, r-oldrel (arm64): vtreat_1.6.5.tgz, r-release (x86_64): vtreat_1.6.5.tgz, r-oldrel (x86_64): vtreat_1.6.5.tgz |
| Old sources: | vtreat archive |
| Reverse imports: | crispRdesignR |
| Reverse suggests: | mlr3pipelines |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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